Key Specifications

Vendoralibaba
Version1.5-32b
Release Date2024-02-25
Context Window32768 tokens
Input Modalitiestext
Output Modalitiestext
LicenseQwen License
Documentationhttps://qwenlm.github.io/

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU81.9%2024-02-255-shotview
HUMANEVAL77.9pass@12024-02-25view
GSM8K81.1%2024-02-250-shot CoTview
MATH46.3%2024-02-250-shot CoTview
BBH73%2024-02-253-shot CoTview
GPQA30.6%2024-02-250-shotview
IFEVAL68.2%2024-02-25prompt_strictview
ARC91.4%2024-02-25challengeview
MUSR54.5%2024-02-250-shotview
WINOGRANDE79.6%2024-02-250-shotview

Pricing

TierPriceCurrency
Input$0.35 / MtokUSD
Output$0.45 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://help.aliyun.com/zh/model-studio/getting-started/models · as of 2024-02-25

Compliance

  • Data Residency: CN
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Qwen1.5 32B

Descripción del modelo

阿里巴巴 Qwen1.5 32B 中端开源模型, 32K 上下文, 性能接近 72B, 适合中等规模部署。

Especificaciones principales

ProveedorVersiónFecha de lanzamientoVentana de contextoModalidades de entradaModalidades de salidaLicencia
Alibaba1.5-32b2024-02-2532KtexttextQwen License

Rendimiento en benchmarks

BenchmarkPuntuaciónUnidadNotas
MMLU (Massive Multitask Language Understanding)81.9%5-shot
HumanEval77.9pass@1
GSM8K (Grade School Math 8K)81.1%0-shot CoT
MATH46.3%0-shot CoT
BBH (BIG-Bench Hard)73.0%3-shot CoT
GPQA30.6%0-shot
IFEval68.2%prompt_strict
ARC91.4%challenge
MUSR54.5%0-shot
WinoGrande79.6%0-shot

Precios

EntradaSalidaLectura cachéEscritura caché

por millón de tokens

Fortalezas

  • MMLU score 81.9, strong knowledge reasoning.

Debilidades

  • 闭源专有模型,不支持自托管。

Casos de uso

  • 代码生成与调试

Referencias